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Soumaya YacoutDepartment of Mathematics and Industrial Engineering
Profile in the Directory of Experts of Polytechnique Montréal
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Agredano, F., Yacout, S., & Simard, D. (2024, May). Predictive Modeling for Quality Control in Multi-Stage Manufacturing Using Artificial Intelligence [Paper]. IISE Annual Conference and Expo, Montreal, QC, Canada. Unavailable
Aboelhassan, A., Sakr, A. H., & Yacout, S. (2023). General purpose digital twin framework using digital shadow and distributed system concepts. Computers & Industrial Engineering, 183, 109534 (13 pages). External link
Agredano, F., Taha, H. A., & Yacout, S. (2023, June). Maintenance 4.0 opportunistic strategy for electric buses [Paper]. CIGI Qualita MOSIM 2023, Trois-Rivières, Qc, Canada (5 pages). External link
Ali, A. M., Yacout, S., Rabeih, E.-A., & Shaban, Y. (2022). A cyber process control system based on pattern recognition and cloud computing. Gestão & Produção, 29. External link
AboElHassan, A., & Yacout, S. (2022). A digital shadow framework using distributed system concepts. Journal of Intelligent Manufacturing, 34(8), 3579-3598. External link
AboElHassan, A., & Yacout, S. (2021, September). Embedding Reinforcement Learning in Simulation [Paper]. 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021), Vasteras, Sweden (6 pages). External link
AboElHassan, A., Sakr, A., & Yacout, S. (2021). A Framework for Digital Twin Deployment in Production Systems. In Advances in Automotive Production Technology – Theory and Application (pp. 145-152). External link
Aly, M., Khomh, F., & Yacout, S. (2021, December). On the performance implications of deploying IoT apps as faas [Paper]. 1st International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC 2021), Varanasi, India. External link
Aly, M., Khomh, F., & Yacout, S. (2021). What Do Practitioners Discuss about IoT and Industry 4.0 Related Technologies? Characterization and Identification of IoT and Industry 4.0 Categories in Stack Overflow Discussions. Internet of Things, 14, 100364. External link
Ali, A. M., Mohamed, E.-A., Yacout, S., & Shaban, Y. (2020). Cloud computing based unsupervised fault diagnosis system in the context of Industry 4.0. Gestão & Produção, 27(3), 19 pages. Available
Aly, M., Khomh, F., Haoues, M., Quintero, A., & Yacout, S. (2019). Enforcing security in Internet of Things frameworks: A Systematic Literature Review. Internet of Things, 6, 100050 (24 pages). External link
Ahmed, A. M., Ibrahim, S. K., & Yacout, S. (2019, March). Hyperspectral Image Classification Based on Logical Analysis of Data [Paper]. 2019 IEEE Aerospace Conference, Montana, USA (9 pages). External link
Aly, M., Khomh, F., Guéhéneuc, Y.-G., Washizaki, H., & Yacout, S. (2019). Is fragmentation a threat to the success of the Internet of things? IEEE Internet of Things Journal, 6(1), 472-487. External link
Ahmed, A. M., Salama, A., Ibrahim, H. A., Sayed, M. A. E., & Yacout, S. (2019, March). Prediction of Battery Remaining Useful Life on Board Satellites Using Logical Analysis of Data [Paper]. IEEE Aerospace Conference, Montana, USA (8 pages). External link
Amer, M., Hassan, A., Ragab, A., Yacout, S., Savaria, Y., & Sawan, M. (2018, May). High-Temperature Empirical Modeling for the I-V Characteristics of GaN150-Based HEMT [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2018), Florence, Italy. External link
Abubakr, A., Hassan, A., Ragab, A., Yacout, S., Savaria, Y., & Sawan, M. (2018, May). High-temperature modeling of the I-V characteristics of GaN150 HEMT using machine learning techniques [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2018), Florence, Italie (5 pages). External link
Aly, M., Khomh, F., & Yacout, S. (2018, November). Kubernetes or OpenShift? Which Technology Best Suits Eclipse Hono IoT Deployments [Paper]. 11th IEEE Conference on Service-Oriented Computing and Applications (SOCA 2018), Paris, France. External link
Aly, M., Yacout, S., & Shaban, Y. (2017, January). Analysis of massive industrial data using MapReduce framework for parallel processing [Paper]. 63rd Annual Reliability and Maintainability Symposium (RAMS 2017), Orlando, FL (6 pages). External link
Aramesh, M., Shaban, Y., Yacout, S., Attia, M. H., Kishawy, H. A., & Balazinski, M. (2016). Survival life analysis applied to tool life estimation with variable cutting conditions when machining titanium metal matrix composites (Ti-MMCs). Machining Science and Technology, 20(1), 132-147. External link
Aramesh, M., Shaban, Y., Balazinski, M., Attia, H., Kishawy, H. A., & Yacout, S. (2014, June). Survival life analysis of the cutting tools during turning titanium metal matrix composites (Ti-MMCs) [Paper]. 6th CIRP Conference on Performance Cutting (HPC 2014), Berkeley, Cal.. Published in Procedia CIRP, 14. External link
Abdernazak, B., & Yacout, S. (2009, May). LAD-CBM: new data processing tool for diagnosis and prognosis in condition-based maintenance [Paper]. International Conference on Industrial Engineering and Systems Management (IESM 2009), Montréal, Québec. Unavailable
Aoudjit, H., Ouali, M.-S., & Yacout, S. (2007). Modélisation et analyse de sensibilité d'un processus de dégradation stochastique composé. Revues JESA, 41(9-10). Unavailable
Adjengue, L., Yacout, S., & Ilk, O. (2007). Parameters estimation for condition based maintenance with uncorrelated and correlated observations. Quality Engineering, 19(3), 197-206. External link
Bassetto, S., Yacout, S., Bassetto, S., & Shaban, Y. (2023). Experimental vibration data collected for a belt drive system under different operating conditions. Data in Brief, 48, 6 pages. Available
Barde, S. R. A., Yacout, S., & Shin, H. (2019). Optimal preventive maintenance policy based on reinforcement learning of a fleet of military trucks. Journal of Intelligent Manufacturing, 30(1), 147-161. External link
Buades Marcos, D., Yacout, S., & Berriah, S. (2019, December). A Self-Supervised Encoder for Fault Prediction in Electrochemical Cells [Poster]. 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada. Unavailable
Barde, S., Hayong, S., & Yacout, S. (2016, September). Opportunistic preventive maintenance strategy of a multi-component system with hierarchical structure by simulation and evaluation [Paper]. 21st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), Berlin, Germany (8 pages). External link
Baril, C., Yacout, S., & Clément, B. (2013). Collaborative decision-making in product design: An interactive multiobjective approach. Journal of Industrial Engineering, 2013, 12 pages. Available
Baril, C., Yacout, S., & Clément, B. (2012). An Interactive Multi-Objective Algorithm for Decentralized Decision Making in Product Design. Optimization and Engineering, 13(1), 121-150. External link
Bennane, A., & Yacout, S. (2012). LAD-CBM: new data processing tool for diagnosis and prognosis in condition-based maintenance. Journal of Intelligent Manufacturing, 23(2), 265-275. External link
Baril, C., Yacout, S., & Clément, B. (2011). Design for Six Sigma through collaborative multiobjective optimization. Computers & Industrial Engineering, 60(1), 43-55. External link
Bennane, A., & Yacout, S. (2010, July). Processing missing and inaccurate data in a condition based maintenance database [Paper]. 40th International Conference on Computers & Industrial Engineering (CIE-40 2010), Awaji City, Japan. External link
Elfar, O., Yacout, S., & Osman, H. (2021). Accelerating logical analysis of data using an ensemble-based technique. Engineering Letters, 29(4), 1616-1625. External link
Elsheikh, A., Yacout, S., Ouali, M.-S., & Shaban, Y. (2020). Failure time prediction using adaptive logical analysis of survival curves and multiple machining signals. Journal of Intelligent Manufacturing, 31(2), 403-415. External link
Elsheikh, A., Yacout, S., & Ouali, M.-S. (2018). Bidirectional handshaking LSTM for remaining useful life prediction. Neurocomputing, 323(148-156), 148-156. External link
Ebrahimipour, V., & Yacout, S. (2015). Ontology modeling in physical asset integrity management. External link
Ebrahimipour, V., & Yacout, S. (2015). Ontology-based knowledge platform to support equipment health in plant operations. In Ebrahimipour, V., & Yacout, S. (eds.), Ontology modeling in physical asset integrity management (pp. 221-255). External link
Ebrahimipour, V., & Yacout, S. (2015). Ontology-based schema to support maintenance knowledge representation with a case study of a pneumatic valve. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 45(4), 702-712. External link
Ebrahimipour, V., & Yacout, S. (2013, July). An integrated ontology framework to support fault prognosis system considering environmentally conscious production [Paper]. 22nd International Conference on Production Research (ICPR 22), Iguassu Falls, Brazil. Unavailable
Gonzalez Rubio, J. L., Shaban, Y., & Yacout, S. (2016, March). Visual data mining of faults in machining process based on machine learning [Paper]. International Conference on Industrial Engineering and Operations Management (IEOM 2016), Kuala Lumpur, Malaysia. External link
Ghasemi, A., Esmaeili, S., & Yacout, S. (2015). Equipment mean residual life estimation using logical analysis of data. International Journal of Decision Sciences, Risk and Management, 6(1), 16-33. External link
Ghasemi, A., Esmaeili, S., & Yacout, S. (2013). Development of equipment failure prognostics model based on Logical Analysis of Data (LAD). Engineering Letters, 21(4), 256-263. External link
Ghasemi, A., Esmaeili, S., & Yacout, S. (2012, September). Equipment's Prognostics Using Logical Analysis of Data [Paper]. IFIP WG 5.7 International Conference on Advances in Production Management System : Competitive Manufacturing for Innovative Products and Services (APMS 2012), Rhodes, Greece. External link
Ghasemi, A., Yacout, S., & Ouali, M.-S. (2010). Evaluating the reliability function and the mean residual life for equipment with unobservable states. IEEE Transactions on Reliability, 59(1), 45-54. External link
Ghasemi, A., Yacout, S., & Ouali, M.-S. (2010). Parameter Estimation Methods for Condition-Based Maintenance With Indirect Observations. IEEE Transactions on Reliability, 59(2), 426-439. External link
Ghasemi, A., Yacout, S., & Ouali, S. M. (2009, May). Parameter estimation for condition based maintenance with proportional hazard model [Paper]. International Conference on Industrial Engineering and Systems Management (IESM 2009), Montréal, Québec. Unavailable
Ghasemi, A., Yacout, S., & Ouali, M.-S. (2007, October). Optimal inspection period and replacement policy for CBM with imperfect information using PHM [Paper]. World Congress on Engineering and Computer Science, San Francisco (California). External link
Ghasemi, A., Yacout, S., & Ouali, M.-S. (2008). Optimal strategies for non-costly and costly observations in condition based maintenance. IAENG International Journal of Applied Mathematics, 38(2), 9-9. External link
Ghasemi, A., Yacout, S., & Ouali, S. M. (2008, January). Parameter estimation algorithms of a condition based maintenance with imperfect information and proportional hazard model [Paper]. Industrial Engineering Research Conference. Unavailable
Ghasemi, A., Yacout, S., & Ouali, M.-S. (2007). Optimal Condition Based Maintenance With Imperfect Information and the Proportional Hazards Model. International Journal of Production Research, 45(4), 989-1012. External link
Hassan, M. O., Saucier, A., Yacout, S., & Soumis, F. (2021). A mixed integer linear programming model for multi-sector planning using speed and heading changes. Computers & Operations Research, 128, 19 pages. External link
Hassan, M. O., Saucier, A., Yacout, S., & Soumis, F. (2020). Randomly generated problems for the complexity resolution problem in a multi sector planning context [Dataset]. External link
Ibrahim, M. M., Ahmed, A. M., Akah, H. E., Mohamed, M. I., & Yacout, S. (2018, March). Integrated telemetry analysis using human expert knowledge and the logical analysis of data [Paper]. IEEE Aerospace Conference (AERO 2018), Big Sky, MT (14 pages). External link
Jocelyn, S., Chinniah, Y. A., Ouali, M.-S., & Yacout, S. (2017). Application of Logical Analysis of Data to Machinery-Related Accident Prevention Based on Scarce Data. Reliability Engineering & System Safety, 159, 223-236. External link
Jocelyn, S., Chinniah, Y. A., Ouali, M.-S., & Yacout, S. (2016, May). Application of logical analysis of data to prevent machinery-related accidents [Paper]. Industrial and Systems Engineering Research Conference (ISERC 2016), Anaheim, CA, USA. Unavailable
Khalifa, R. M., Yacout, S., Bassetto, S., & Shaban, Y. (2024). Condition monitoring and warning of a belt drive system based on a logical analysis of data regression-based residual control chart. Structural Health Monitoring. External link
Khalifa, R. M., Yacout, S., & Bassetto, S. (2023). Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average. Journal of Intelligent Manufacturing, 16 pages. External link
Khalifa, R. M., Yacout, S., & Bassetto, S. (2021). Developing machine-learning regression model with Logical Analysis of Data (LAD). Computers and Industrial Engineering, 151, 106947 (16 pages). External link
Khalifa, R. M., Yacout, S., & Bassetto, S. (2021, November). Quality 4.0 : entity relationship model for inspection and repair processes in aerospace domain [Paper]. 6th North American Conference on Industrial Engineering & Operations Management (IEOM 2021), Monterrey, Mexico (11 pages). External link
Lejeune, M., Lozin, V., Lozina, I., Ragab, A., & Yacout, S. (2019). Recent advances in the theory and practice of Logical Analysis of Data. European Journal of Operational Research, 275(1), 1-15. External link
Lopez-Soto, D., Angel-Bello, F., Yacout, S., & Alvarez, A. (2017). A multi-start algorithm to design a multi-class classifier for a multi-criteria ABC inventory classification problem. Expert Systems With Applications, 81, 12-21. External link
Lopez-Soto, D., Yacout, S., & Angel-Bello, F. (2016). Root cause analysis of familiarity biases in classification of inventory items based on logical patterns recognition. Computers & Industrial Engineering, 93, 121-130. External link
Lamghabbar, A., Yacout, S., & Ouali, M.-S. (2004). Concurrent Optimization of the Design and Manufacturing Stages of Product Development. International Journal of Production Research, 42(21), 4495-4512. External link
Lambhabbar, A., Yacout, S., & Ouali, M.-S. (2002, January). Concurrent optimisation of design and manufacturing phases of QFD, CROS-SCRO [Paper]. 44th Annual Conference, MIT, Toronto. Unavailable
Mikhail, M., Ouali, M.-S., & Yacout, S. (2024). A data-driven methodology with a nonparametric reliability method for optimal condition-based maintenance strategies. Reliability Engineering and System Safety, 241, 109668 (11 pages). External link
Masmoudi, O., Jaoua, M., Jaoua, A., & Yacout, S. (2021). Data Preparation in Machine Learning for Condition-based Maintenance. Journal of Computer Science, 17(6), 525-538. Available
Mikhail, M., Yacout, S., & Ouali, M.-S. (2019, October). Optimal preventive maintenance strategy using reinforcement learning [Paper]. 4th North American International Conference on Industrial Engineering and Operations Management, Toronto, ON (9 pages). External link
Mortada, M.-A., Yacout, S., & Lakis, A. A. (2014). Fault diagnosis in power transformers using multi-class logical analysis of data. Journal of Intelligent Manufacturing, 25(6), 1429-1439. External link
Mortada, M.-A., Carroll, T. I.I.I., Yacout, S., & Lakis, A. A. (2012). Rogue components: Their effect and control using logical analysis of data. Journal of Intelligent Manufacturing, 23(2), 289-302. External link
Mortada, M.-A., & Yacout, S. (2011, March). cbmLAD - Using logical analysis of data in condition based maintenance [Paper]. 3rd International Conference on Computer Research and Development (ICCRD 2011), Shanghai, China. External link
Mortada, M. A., Yacout, S., & Lakis, A. A. (2011, March). CBMLAD : Using logical analysis of data in condition based maintenance [Paper]. International Conference on Systems Engineering and Modeling (ICSEM 2011), Shanghai, China. Unavailable
Mortada, M.-A., Yacout, S., & Lakis, A. A. (2011). Diagnosis of rotor bearings using logical analysis of data. Journal of Quality in Maintenance Engineering, 17(4), 371-397. External link
Mortada, M.-A., & Yacout, S. (2011, April). Expert elicitation and artificial intelligence in maintenance [Paper]. 7th IMA International Conference on Modeling in Industrial Maintenance and Reliability, Cambridge. Unavailable
Mortada, M.-A., & Yacout, S. (2011, May). The use of logical analysis of data in conjunction with expert elicitation in condition based maintenance [Paper]. International Conference on Industrial Engineering and Systems Management (IESM 2011), Metz, France. Unavailable
Oukassi, H., Jaoua, A., Yacout, S., Negri, E., & Jaoua, M. (2024, December). Towards Standardizing the Integration of Digital Twins in Manufacturing Systems [Paper]. Winter Simulation Conference (WSC 2018), Orlando, FL, USA. Published in 2018 Winter Simulation Conference (WSC). External link
Osman, H., & Yacout, S. (2022). Condition-based monitoring of the rail wheel using logical analysis of data and ant colony optimization. Journal of Quality in Maintenance Engineering, 29(2), 377-400. External link
Orth, P., Yacout, S., & Adjengue, L. (2012). Accuracy and Robustness of Decision Making Techniques in Condition Based Maintenance. Journal of Intelligent Manufacturing, 23(2), 255-264. External link
Ouali, M.-S., Tadj, L., Yacout, S., & Ait-Kadi, D. (2011). A survey of replacement models with minimal repair. In Replacement Models with Minimal Repair (pp. 3-100). External link
Ouali, M.-S., & Yacout, S. (2003). Optional preventive replacement policy for two-component system. Journal of Decision Systems, 12(1), 11-20. External link
Piedras, H., Yacout, S., & Savard, G. (2006). Concurrent optimization of customer requirements and the design of a new product. International Journal of Production Research, 44(20), 4401-4416. External link
Ragab, A., El Koujok, M., Ghezzaz, H., Amazouz, M., Ouali, M.-S., & Yacout, S. (2019). Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning. Expert Systems With Applications, 122, 388-405. External link
Ragab, A., Yacout, S., Ouali, M.-S., & Osman, H. (2019). Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions. Journal of Intelligent Manufacturing, 30(1), 255-274. External link
Ragab, A., El-Koujok, M., Poulin, B., Amazouz, M., & Yacout, S. (2018). Fault diagnosis in industrial chemical processes using interpretable patterns based on logical analysis of data. Expert Systems With Applications, 95, 368-383. External link
Ragab, A., de Carné de Carnavalet, X., Yacout, S., & Ouali, M.-S. (2017). Face recognition using multi-class Logical Analysis of Data. Pattern Recognition and Image Analysis, 27(2), 276-288. External link
Ragab, A., El-Koujok, M., Amazouz, M., & Yacout, S. (2017, January). Fault detection and diagnosis in the Tennessee Eastman Process using interpretable knowledge discovery [Paper]. 63rd Annual Reliability and Maintainability Symposium (RAMS 2017), Orlando, FL, United states. External link
Ragab, A., Yacout, S., Ouali, M.-S., & Osman, H. (2017). Pattern-based prognostic methodology for condition-based maintenance using selected and weighted survival curves. Quality and Reliability Engineering International, 33(8), 1753-1772. External link
Ragab, A., Yacout, S., & Ouali, M.-S. (2016, January). Remaining useful life prognostics using pattern-based machine learning [Paper]. Annual Reliability and Maintainability Symposium (RAMS 2016), Tucson, AZ (7 pages). External link
Ragab, A., Yacout, S., & Ouali, M.-S. (2015, January). Interpretable pattern-based machine learning for condition-based maintenance [Paper]. 61st Annual Reliability and Maintainability Symposium (RAMS 2015), Palm Harbor, Florida (6 pages). Unavailable
Ragab, A., Yacout, S., Ouali, M.-S., & Osman, H. (2015, January). Multiple failure modes prognostics using logical analysis of data [Paper]. Annual Reliability and Maintainability Symposium (RAMS 2015), Palm Harbor, FL, USA (7 pages). External link
Ragab, A., Ouali, M.-S., Yacout, S., & Osman, H. (2014, May). Condition-based maintenance prognostics using logical analysis of data [Paper]. IIE Annual Conference and Expo 2014, Montréal, Québec. Unavailable
Ragab, A., Ouali, M.-S., Yacout, S., & Osman, H. (2014). Remaining useful life prediction using prognostic methodology based on logical analysis of data and Kaplan-Meier estimation. Journal of Intelligent Manufacturing, 27(5), 943-958. External link
Salvador, M., Yacout, S., & AboElHassan, A. (2022, January). Using Big Data and Machine Learning to Improve Aircraft Reliability and Safety [Paper]. Annual Reliability and Maintainability Symposium (RAMS 2022), Tucson, AZ, USA (9 pages). External link
Sakr, A. H., Aboelhassan, A., Yacout, S., & Bassetto, S. (2021, September). Building Discrete-Event Simulation for Digital Twin Applications in Production Systems [Paper]. 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021), Vasteras, Sweden (8 pages). External link
Sakr, A. H., Aboelhassan, A., Yacout, S., & Bassetto, S. (2021). Simulation and deep reinforcement learning for adaptive dispatching in semiconductor manufacturing systems. Journal of Intelligent Manufacturing, 2021(3), 1311-1324. External link
Soto, D. L., Yacout, S., & Angel-Bello, F. (2016, May). Inventory ABC supervised classification with logical analysis of data [Paper]. Industrial and Systems Engineering Research Conference (ISERC 2016), Anaheim, CA, USA. Unavailable
Sakr, A. H., Yacout, S., & Bassetto, S. (2019, October). A discrete event simulation logic for semiconductor production planning and control within industry 4.0 paradigm [Paper]. 4th North American International Conference on Industrial Engineering and Operations Management, Toronto, ON (11 pages). External link
Shaban, Y., Yacout, S., & Aly, M. (2017, January). Condition-based reliability prediction based on logical analysis of survival data [Paper]. 63rd Annual Reliability and Maintainability Symposium (RAMS 2017), Orlando, FL (6 pages). External link
Shaban, Y., Yacout, S., Balazinski, M., & Jemielniak, K. (2017). Cutting tool wear detection using multiclass logical analysis of data. Machining Science and Technology, 21(4), 526-541. External link
Shaban, Y., & Yacout, S. (2016, January). Cutting tool remaining useful life during turning of metal matrix composites [Paper]. Annual Reliability and Maintainability Symposium (RAMS 2016), Tucson, AZ (6 pages). External link
Shaban, Y., & Yacout, S. (2016, March). Identifying optimal intervene hazard for cutting tools considering cost-availability optimization [Paper]. International Conference on Industrial Engineering and Operations Management (IEOM 2016), Kuala Lumpur, Malaysia. External link
Shaban, Y., & Yacout, S. (2016). Predicting the remaining useful life of a cutting tool during turning titanium metal matrix composites. Proceedings of the Institution of Mechanical Engineers. Part B, Journal of Engineering Manufacture, 232(4), 681-689. External link
Shaban, Y., Yacout, S., Balazinski, M., Meshreki, M., & Attia, H. (2015, March). Diagnosis of machining outcomes based on machine learning with logical analysis of data [Paper]. International Conference on Industrial Engineering and Operations Management (IEOM 2015), Dubai, United Arab Emirates (8 pages). External link
Shaban, Y., Aramesh, M., Yacout, S., Balazinski, M., Attia, H., & Kishawy, H. (2015). Optimal replacement times for machining tool during turning titanium metal matrix composites under variable machining conditions. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 231(6), 924-932. External link
Shaban, Y., Yacout, S., & Balazinski, M. (2015, January). Tool replacement based on pattern recognition with LAD [Paper]. Annual Reliability and Maintainability Symposium (RAMS 2015), Palm Harbor, FL (6 pages). External link
Shaban, Y., Yacout, S., & Balazinski, M. (2015). Tool Wear Monitoring and Alarm System Based on Pattern Recognition With Logical Analysis of Data. Journal of Manufacturing Science and Engineering, 137(4), 10 pages. External link
Shaban, Y., Aramesh, M., Yacout, S., Balazinski, M., Attia, H., & Kishawy, H. (2014, May). Optimal replacement of tool during turning titanium metal matrix composites [Paper]. IIE Annual Conference and Expo 2014, Montréal, Québec. Unavailable
Shaban, Y., Meshreki, M., Yacout, S., Balazinski, M., & Attia, H. (2014). Process control based on pattern recognition for routing carbon fiber reinforced polymer. Journal of Intelligent Manufacturing, 28(1), 165-179. External link
St-Pierre, C., & Yacout, S. (2002). A framework for the development of an environmental management system : a case study in a thermal power plant. Quality Engineering, 15(1), 49-65. External link
Taha, H. A., Mammeri, A., & Yacout, S. (2024, November). Advanced Powertrain Fault Diagnosis for Electric Buses: An IoV Approach [Paper]. IEEE 10th World Forum on Internet of Things (WF-IoT 2024), Ottawa, ON, Canada. External link
Taha, H. A., Yacout, S., & Shaban, Y. (2023). Online failure analysis and autonomous risk control scheme for electric buses. Engineering Failure Analysis, 154, 15 pages. External link
Taha, H. A., Yacout, S., & Shaban, Y. (2022). Autonomous self-healing mechanism for a CNC milling machine based on pattern recognition. Journal of Intelligent Manufacturing, 34(5), 2185-2205. External link
Taha, H. A., Yacout, S., & Shaban, Y. (2022). Deep reinforcement learning for autonomous pre-failure tool life improvement. International Journal of Advanced Manufacturing Technology, 121(9-10), 6169-6192. External link
Taha, H. A., Yacout, S., & Birglen, L. (2020, November). Detection and Monitoring for Anomalies and Degradation of a Robotic Arm Using Machine Learning [Paper]. Stuttgart Conference on Automative Production (SCAP 2020). External link
Taha, H. A., Sakr, A. H., Yacout, S., & Serafin, P. (2021, September). Failure Reasoning and Uncertainty Analysis for Wheel Motor Electric Bus [Paper]. 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021), Vasteras, Sweden (4 pages). External link
Taha, H. A., Sakr, A. A., & Yacout, S. (2019, October). Aircraft engine remaining useful life prediction framwork for industry 4.0 [Paper]. International Conference on Industrial Engineering and Operations Management, Toronto, Canada (11 pages). External link
Tadj, L., Ouali, M.-S., Yacout, S., & Ait-Kadi, D. (2011). Replacement models with minimal repair. External link
Tail, M., Yacout, S., & Balazinski, M. (2010). Replacement time of a cutting tool subject to variable speed. Proceedings of the Institution of Mechanical Engineers. Part B, Journal of Engineering Manufacture, 224(3), 373-383. External link
Wu, Y., Ebrahimipour, V., & Yacout, S. (2014, May). Ontology-based modeling of aircraft to support maintenance management system [Paper]. IIE Annual Conference and Expo 2014, Montréal, Québec. Unavailable
Yacout, S. (2019, April). The Industrial Value Chain and the Digital Transformation: Prospects of Industrial Multidisciplinary Applications [Presentation]. In 6th IEEE International Conference on Industrial Engineering and Applications (ICIEA 2019), Tokyo, Japan. Unavailable
Yacout, S. The Industrial Value Chain and The Digital Transformation: Prospects of Industrial Multidisciplinary Collaborative Research [Presentation]. In CanmetENERGIE, Natural Resource Canada, Varennes, Québec, Canada. Unavailable
Yacout, S., & Ouali, M.-S. (2019, January). Using Artificial Intelligence for Block Maintenance of Pavement Segments with Similar Degradation [Paper]. 65th Annual Reliability and Maintainability Symposium (RAMS 2019), Orlando, Florida. External link
Yacout, S., Salamanca, D., & Mortada, M.-A. (2017). Tool and method for fault detection of devices by condition based maintenance. (Patent no. US9824060). External link
Yacout, S., & Ebrahimipour, V. (2015). ISO 15926. In Ebrahimipour, V., & Yacout, S. (eds.), Ontology modeling in physical asset integrity management (16 pages). External link
Yacout, K., Ebrahimipour, V., & Yacout, S. (2014, May). Ontology based modeling of a complex real time system [Paper]. IIE Annual Conference and Expo 2014, Montréal, Québec. Unavailable
Yacout, S., Alya, D., Saadany Susie, E. L., Kapongo, J.-P., Mani, S., & James, G. (2013). Knowledge discovery from observational data of causal relationship between clinical procedures and alzheimer's disease. Journal of Public Health Frontier, 2(1), 1-10. External link
Yacout, S. (2012, January). Logical analysis of maintenance and performance data of physical assets, ID34 [Paper]. Annual Reliability and Maintainability Symposium (RAMS 2012), Reno, Nevada. External link
Yacout, S., Meshreki, M., & Attia, H. (2012, July). Monitoring and control of machining process by data mining and pattern recognition [Paper]. 6th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS 2012), Palermo, Italy. External link
Yacout, S. (2010, July). Fault detection and diagnosis for condition based maintenance using the Logical Analysis of data [Paper]. 40th International Conference on Computers & Industrial Engineering (CIE-40 2010), Awaji City, Japan. External link
Yacout, S., & Salamanca, D. (2008, January). Software for faults diagnosis on logical analysis of data [Paper]. Maintenance and Reliability Conference (MARCON 2008), Tennessee, USA. Unavailable
Yacout, S., & Boudreau, J. (2001). HACCP and ISO 9002 in food processing industry: a computerized generic model for lobster production. Quality Engineering, 13(4), 571-579. External link
